搜索资源列表
kMeans
- 机器学习算法，无监督学习，利用k均值聚类算法对未标注数据分组-Machine learning algorithms, unsupervised learning, the use of k-means clustering algorithm for unlabeled data packets
apriori
- 机器学习算法，使用Apriori算法进行关联分析，频繁项集，关联规则-Machine learning algorithms, Apriori algorithm using correlation analysis, frequent itemsets, association rules
fpGrowth
- 使用FP-growth算法来高效发现频繁项集，发现事务数据中的公共模式-Using the FP-growth algorithm to efficiently discover frequent itemsets found in public affairs data model
pca
- 机器学习算法，利用PCA来简化数据，降维技术，主成分分析-Machine learning algorithm, using PCA to simplify data dimensionality reduction techniques, principal component analysis
svdRec
- 机器学习算法，利用SVD简化数据，SVD矩阵分解，推荐引擎，提高性能-Machine learning algorithm, using SVD simplify data, SVD matrix decomposition, recommendation engine, improved performance
mrMeanMapper
- 机器学习算法，分布式均值和方差计算的mapper，用于hadoop流-Machine learning algorithms, mapper distributed computing the mean and variance for hadoop streaming
search-chen
- 使用Python编写的AI程序Pacman，可以适合AI的初学者，有BFS, DFS, UCS, A Star 运行的命令在commands.txt文件里 可以用 bash commands.txt演示-AI programs written in Python Pacman, AI can fit beginners, there BFS, DFS, UCS, the command runs in commands.txt A Star file can bash commands.t
kNN
- 利用Python语言来实现KNN分类，并且实现了交叉验证。-Python language to use KNN classification, and to achieve a cross-validation.
Bayes
- 对VOA文档利用贝叶斯分类器来进行分类，并进行正确性测试。-VOA document on the use of Bayesian classifier to classify, and accuracy testing.
Ga
- GA的python实现,各个程序都被分离，结构很清晰，适合互相学习-GA,PYTHON3.3,the latest code
apriori
- apriori算法的python实现以及相关实验数据-machine learning algorithm apriori
fpgrowth
- fpgrowth算法的python实现以及相关实验数据-machine learning fpgrowth
kmeans
- kmeans算法的python实现以及相关实验数据-machine learning kmeans
pca
- pca算法的python实现以及相关实验数据-machine learning pca
cart
- classification and regression tree算法的python实现以及相关实验数据-machine learning classification and regression tree
CNNpython
- 卷积神经网络程序，python语言编写，希望对大家有帮助-a programa of CNN, by python laguage
adaboost_PY
- 做机器学习的同学都知道最具代表性的是AdaBoost算法（Adaptive Boosting Algorithm），这个是用Python实现的。希望能有帮助。-The well known AdaBoost algorithm (Adaptive Boosting Algorithm). Here is the Python version. Hope it helps.
Logistic_Regression
- 逻辑回归是当前业界比较常用的机器学习方法,这个是PY实现的。-logistic regression model implemented in Python. Hope this helps.
onlineldavb
- python写的online lda,LDA算法的实时实现，根据lda已经计算出来的主题，强化后面没计算出来的主题-Online lda,LDA algorithm for real-time implementation of Python written, based on the theme of the LDA has been computed, theme of strengthening the back does not come out
FeatureSelector
- 三种常用的特征选择算法 卡方特征选择,互信息特征选择,信息增益特征选择(CHI,MI,IG)-Three kinds of commonly used feature selection algorithm, CHI, MI, IG